Machine Learning Engineer II (Underwriting ML)

📋 Description

• Develop and iterate on underwriting prediction models for real-time decisions
• Build and scale feature pipelines and training datasets from proprietary and third-party signals
• Prototype new modeling ideas, run offline experiments, and productionize best approaches with risk
• Integrate models into batch or real-time decision systems, improving reliability and latency
• Instrument and monitor model/data health; define retraining/backtesting workflows
• Collaborate with Engineering, Risk Analytics, Product, and ML Platform to communicate results

🎯 Requirements

• 2+ years ML engineering experience or PhD in a related field
• Strong Python and production-quality code experience
• Experience with classification models (LightGBM/XGBoost/CatBoost or similar)
• Experience with a deep learning framework (PyTorch preferred)
• Experience with distributed data processing (Spark preferred; Ray/Dask or similar)
• ML lifecycle tooling for training orchestration, experimentation, and monitoring (Kubeflow

🎁 Benefits

• Health care coverage for you and dependents
• Flexible Spending Wallets for technology, food, lifestyle, etc.
• Generous vacation/holiday schedules
• ESPP – employee stock purchase plan